New to Plotly?¶

Plotly's Python library is free and open source! Get started by downloading the client and reading the primer.
You can set up Plotly to work in online or offline mode, or in jupyter notebooks.
We also have a quick-reference cheatsheet (new!) to help you get started!

Version Check¶

Plotly's python package is updated frequently. Run pip install plotly --upgrade to use the latest version.

In [1]:

import plotly
plotly.__version__

Out[1]:

'3.8.1'

Simple Waterfall Chart¶

In [2]:

import plotly.offline as py
import plotly.graph_objs as go
py.init_notebook_mode(connected=False)

trace = go.Waterfall(
    name= "20",orientation= "v",
    measure= [ "relative", "relative", "total", "relative", "relative", "total"],
    x= [ "Sales", "Consulting", "Net revenue", "Purchases", "Other expenses", "Profit before tax"],
    textposition= "outside",
    text= [ "+60", "+80", "", "-40", "-20", "Total"],
    y= [60,80,0,-40,-20,0],
    connector= { "line": { "color": "rgb(63, 63, 63)"}},
)

layout = go.Layout(
        title= "Profit and loss statement 2018",
        showlegend=True
)

py.iplot(go.Figure([trace],layout), filename="basic_waterfall_chart")

Multi Category Waterfall Chart¶

This example uses the waterfallgroupgap attribute, which sets a gap between bars.

In [3]:

import plotly.offline as py
import plotly.graph_objs as go
py.init_notebook_mode(connected=False)

trace1 = go.Waterfall(
    x= [["2016", "2017", "2017", "2017", "2017", "2018", "2018", "2018", "2018"],
        ["initial", "q1", "q2", "q3", "total", "q1", "q2", "q3", "total" ]],
    measure= ["absolute", "relative", "relative", "relative", "total", "relative", "relative", "relative", "total"],
    y= [1, 2, 3, -1, None, 1, 2, -4, None],
    base= 1000
)
trace2=go.Waterfall(
    x= [["2016", "2017", "2017", "2017", "2017", "2018", "2018", "2018", "2018"],
        ["initial", "q1", "q2", "q3", "total", "q1", "q2", "q3", "total" ]],
    measure= ["absolute", "relative", "relative", "relative", "total", "relative", "relative", "relative", "total"],
    y= [1.1, 2.2, 3.3, -1.1, None, 1.1, 2.2, -4.4, None],
    base= 1000
)

layout = go.Layout(
    waterfallgroupgap = 0.5 ,
    xaxis= {"title": "MULTI-CATEGORY","tickfont": {"size": 16},"ticks": "outside"}
)

data = [trace1,trace2]
fig = go.Figure(data, layout)
py.iplot(fig,filename = "mutli_category_waterfall")

Setting Marker Size and Color¶

This example uses decreasing, increasing, and total attributes to customize the bars.

In [4]:

import plotly.offline as py
import plotly.graph_objs as go
py.init_notebook_mode(connected=False)

trace = go.Waterfall(
    x=[["2016", "2017", "2017", "2017", "2017", "2018", "2018", "2018", "2018"],
       ["initial", "q1", "q2", "q3", "total", "q1", "q2", "q3", "total" ]],
    measure= ["absolute", "relative", "relative", "relative", "total", "relative", "relative", "relative", "total"],
    y= [10, 20, 30, -10, None, 10, 20, -40, None],base= 300,
    decreasing= { "marker": { "color": "Maroon" , "line":{"color" : "red", "width" :2}}},
    increasing= { "marker": { "color": "Teal"} },
    totals= { "marker": { "color": "deep sky blue", "line":{"color":'blue',"width":3}}}
)

layout = go.Layout(
    title=  "Profit and loss statement",
    waterfallgap = 0.3 ,
    xaxis= {"title": "","tickfont": {"size": 15},"ticks": "outside"}
)

py.iplot(go.Figure([trace],layout) , filename="Style_waterfall")

Horizontal Waterfall Chart¶

In [2]:

import plotly.offline as py
import plotly.graph_objs as go
py.init_notebook_mode(connected=False)

trace = go.Waterfall(
    name= "2018", orientation= "h", measure= ["relative","relative","relative","relative","total","relative",
                                              "relative","relative","relative","total","relative","relative","total","relative","total"],
    y=["Sales","Consulting","Maintenance","Other revenue","Net revenue","Purchases","Material expenses",
       "Personnel expenses","Other expenses","Operating profit","Investment income","Financial income",
       "Profit before tax", "Income tax (15%)", "Profit after tax"],
    x= [375,128,78,27,None,-327,-12,-78,-12,None,32,89,None,-45,None],
    connector= {"mode": "between","line": {"width": 4, "color": "rgb(0, 0, 0)", "dash": "solid"}}
)

layout = go.Layout(
    title= "Profit and loss statement 2018<br>waterfall chart displaying positive and negative",
        yaxis= {"type": "category","autorange": "reversed"},
        xaxis= {"type": "linear"},
        margin= {"l": 150 },
        showlegend= True
)

py.iplot(go.Figure([trace],layout),filename="horizontal_waterfall")

Reference¶

See https://plot.ly/python/reference/#waterfall for more information and chart attribute options!

In [1]:

from IPython.display import display, HTML

display(HTML('<link href="//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700" rel="stylesheet" type="text/css" />'))
display(HTML('<link rel="stylesheet" type="text/css" href="http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css">'))

! pip install git+https://github.com/plotly/publisher.git --upgrade
import publisher
publisher.publish(
    'waterfall-charts.ipynb', 'python/waterfall-charts/', 'Waterfall Charts',
    'How to make waterfall plots in Python with Plotly.',
    title = 'Python Waterfall Chart | Plotly',
    has_thumbnail='true', thumbnail='thumbnail/waterfall-charts.jpg',
    language='python',
    # page_type='example_index', // note this is only if you want the tutorial to appear on the main page: plot.ly/python
    display_as='basic', order=6.2, ipynb='/~notebook_demo/276',uses_plotly_offline=True)

Collecting git+https://github.com/plotly/publisher.git
  Cloning https://github.com/plotly/publisher.git to /tmp/pip-5p36ccjo-build
Installing collected packages: publisher
  Found existing installation: publisher 0.13
    Uninstalling publisher-0.13:
      Successfully uninstalled publisher-0.13
  Running setup.py install for publisher ... done
Successfully installed publisher-0.13

/home/mahdis/.virtualenvs/plotly3.3/lib/python3.6/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead.
  "You should import from nbconvert instead.", ShimWarning)
/home/mahdis/.virtualenvs/plotly3.3/lib/python3.6/site-packages/publisher/publisher.py:53: UserWarning: Did you "Save" this notebook before running this command? Remember to save, always save.
  warnings.warn('Did you "Save" this notebook before running this command? '